By PulsHealth. Updated
Research reviewed .
Overview
Hot flashes in Apple Health are logged symptoms graded by subjective severity. This category is distinct from a measured temperature, a fever record or a count produced by continuous monitoring.
What do its category values mean?
| Code | Label | Meaning |
|---|---|---|
| 0 | unspecified | Severity was not specified |
| 1 | notPresent | Symptom was explicitly reported absent |
| 2 | mild | Subjectively mild severity |
| 3 | moderate | Subjectively moderate severity |
| 4 | severe | Subjectively severe severity |
Unspecified is not the same as notPresent. Mild, moderate and severe are subjective labels; the integer codes are not a clinical measurement or a validated pain scale. These values come from Apple’s HKCategoryValueSeverity enumeration.
Can temperature or sleep provide additional context?
A recorded hot-flash interval can be compared with separately recorded sleep and temperature observations, with each source identified. Sleeping wrist temperature is measured in its own setting and is not a measurement of hot-flash intensity. Time overlap alone cannot establish that a flash caused awakening or a temperature change.
Night Sweats is another symptom category, not an interchangeable label. Keep the reports separate when both exist and describe their co-recording rather than collapsing them into a single episode count.
Can severity entries count hot flashes?
Severity describes the reported symptom, not the number of flashes. An entry can summarize a period or represent a particular observation depending on its source. Without the source’s episode definitions, row counts and interval duration do not establish frequency, clinical burden or hormonal status.
How should logged intervals be read?
This is a logged observation, rather than a regularly sampled sensor reading. Start-to-start gaps describe the saved history and the source’s logging habits. An interval’s length describes what the source saved; it does not by itself establish the symptom’s continuous duration. Record start and end times, source changes and repeated or overlapping entries before interpreting a timeline.
These intervals do not establish continuously measured symptoms or identify a cause. Numeric averages, physiological reference ranges and numeric outlier thresholds do not apply to the category codes.
What did the example data show?
This HealthKit category is not listed in the current PulsHealth sync catalog. No hot flashes records were found in the selected database research window; that coverage cannot establish whether corresponding entries exist in Apple Health. Category frequencies, source differences, logging cadence, interval patterns and relationships with other logged observations could not be measured. The absence of records does not establish the absence of the symptom. There is no measured figure or population estimate to infer from this coverage.
Understanding your records
Recording frequency, source and coverage affect what you can conclude from this data. Read the recording guide.